Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters
and is computationally simple and easy to implement, it is not a globally convergent …

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for
combinatorial optimization problems. The first algorithm which can be classified within this …

Resource management and task scheduling are very important and complex problems in
grid computing environment. It is necessary to do resource state prediction to get proper task …

This work presents two multiobjective algorithms for Multicast Traffic Engineering. The
proposed algorithms are new versions of the Multi-Objective Ant Colony System (MOACS) …

QoS multicast routing is a non-linear combinatorial optimization problem that arises in many
multimedia applications. Providing QoS support is crucial to guarantee effective …

Type II diabetes is considered to be one of the persistent diseases which is the cause of
death and disability in many regions. The objective of this research work is to apply an …

Usually multiple quality of service (QoS) guarantees are required in most of multicast
applications. In this paper, it is formulated as a multiobjective constrained combinatorial …

In the distributed networks, many applications send information from a source node to
multiple destination nodes. To support these applications requirements, the paper presents …

A hybrid computational intelligent algorithm is proposed by integrating the salient features of
two different heuristic techniques to solve a multiconstrained Quality of Service Routing …

Swarm Intelligence and Its Applications in Biomedical Informatics discusses Artificial
Intelligence (AI) applications in medicine and biology, as well as challenges and …